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Analytics Engineer
London, Hybrid (2 days in office) | Up to £85,000
No sponsorship available now or in the future.

This is an opportunity to join a high growth, product led business where data sits at the centre of decision making. You will play a key role in shaping scalable data models and powering insight across the organisation, directly influencing how products are built and improved.

The Company

They are a fast growing digital platform operating within the financial services space, supporting a large and expanding customer base across the UK. The business is mission driven, focused on helping people make smarter long term decisions, with data deeply embedded in their strategy. Their environment is collaborative, inclusive, and focused on continuous improvement, with strong investment in modern data tooling and practices.

The Role

As an Analytics Engineer, you will bridge the gap between data engineering and analytics by creating reliable, analysis ready datasets and scalable data models. You will work closely with analysts and stakeholders to enable high quality insights across the business.

• Design and build automated data transformations to create trusted datasets
• Develop and scale data models and data catalogues across the platform
• Collaborate with analysts and stakeholders to deliver new analytics features
• Improve code quality, documentation, and best practices across the team
• Champion analytics engineering principles within the wider data function
• Enable improved reporting and insight through well modelled data structures

Your Skills and Experience

• Strong commercial experience working with large datasets and delivering insight
• Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery
• Experience building and automating data pipelines and transformations
• Familiarity with dbt for data modelling and transformation workflows
• Working knowledge of Python for data processing
• Experience supporting BI tools such as Power BI or similar platforms
• Understanding of data warehouse modelling principles and best practices
• Experience with version control tools such as Git
• Exposure to CI/CD concepts is beneficial
• Experience within financial services is advantageous but not essential

What They Offer

• Salary up to £85,000
• Performance related bonus
• Hybrid working model with London office presence
• Company pension scheme
• Private medical insurance and health cash plan
• Annual learning and development budget
• Home office setup support
• Cycle to work and wellbeing benefits
• Generous annual leave with additional entitlement over time
• Inclusive and collaborative culture with clear progression opportunities

Please note that candidates must be based in the UK. Sponsorship is not available for this position.

How to Apply

If you are interested in applying your analytics engineering expertise in a growing, impact driven environment, please apply with your CV.

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Vice President, Machine Learning Engineering (Generative AI)
New York, NY or Jersey City, NJ | $260,000 base + bonus + equity, total compensation up to $430,000
This is a rare opportunity to build and scale Generative AI products used at true enterprise scale. You will join a highly visible team delivering LLM-powered systems adopted by hundreds of thousands of users, with direct exposure to senior leadership and the autonomy to move ideas from concept to production at pace.
The Company
They are a global organisation investing heavily in AI to transform how data and machine learning are applied across the business. Their central AI and data function drives enterprise-wide adoption of advanced analytics, with a focus on scalable infrastructure, responsible AI, and high-impact product delivery. The team operates at the intersection of research and engineering, partnering closely with cloud, platform, and domain teams. Work here has immediate reach and measurable business impact.
The Role
You will operate as a senior individual contributor, designing and delivering production-grade Generative AI systems and platforms.

• Build scalable LLM-based products and reusable APIs that support enterprise-wide use cases
• Design and deploy robust ML and GenAI systems from prototype through to production
• Collaborate with cloud engineering and SRE teams to ensure performance, reliability, and scalability
• Bridge research and engineering, applying advanced ML techniques to real-world problems
• Define clear interfaces and architectures that enable other teams to build on shared capabilities
• Drive best practices in ML engineering, including testing, monitoring, and lifecycle management
• Align technical solutions with business objectives and deliver measurable ROI

Your Skills and Experience

• Strong commercial experience in machine learning engineering, with a focus on NLP, computer vision, or Generative AI
• Deep understanding of ML fundamentals, including statistics, optimisation, and model design
• Hands-on experience building and scaling distributed systems using frameworks such as Ray, Horovod, or DeepSpeed
• Experience deploying ML services in cloud environments, particularly AWS and containerised ecosystems
• Strong software engineering foundations and experience with production systems and SDLC best practices
• Proven ability to design scalable APIs and backend services for ML products
• Comfortable working across research and engineering, with the ability to translate theory into production
• Strong communication skills and experience working with cross-functional stakeholders

What They Offer

• Competitive base salary of $260,000 with total compensation up to $430,000
• Annual bonus structure with a mix of cash and deferred equity
• Opportunity to work on high-impact AI products at significant scale
• Clear progression pathways within a growing AI function
• Collaborative, high-performance environment with strong technical ownership

How to Apply
If you are interested in building large-scale Generative AI systems with real-world impact, please apply with your CV.

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Member of Technical Staff – ML and Applied AI
New York City, Onsite Five Days per Week
Base Salary 200,000 to 300,000 USD plus equity

This is an exceptional opportunity to join a high‑growth AI organisation building cutting‑edge multi‑agent systems used in real production environments. You will help shape intelligent products from the ground up, driving innovation, system design, and real‑world impact at scale.

The Company
They are a rapidly scaling AI business developing advanced agentic technology tailored to complex, data‑heavy professional workflows. After securing significant venture investment, they are expanding their technical teams to meet growing customer demand. With strong traction, an ambitious roadmap, and a culture that values experimentation, rigour, and autonomy, they offer a rare chance to join during a pivotal expansion phase. Their teams operate onsite in a collaborative environment designed for fast learning, sharp iteration cycles, and high ownership.

The Role
You will contribute as a core individual contributor focused on ML engineering, applied AI systems, and multi‑agent intelligence. Your work will directly shape how their agents reason, plan, and operate safely in production. Responsibilities include:
* Designing and iterating multi‑agent architectures that automate real operational workflows.
* Engineering robust human‑to‑ML interaction and creating scalable evaluation frameworks.
* Developing context, memory, retrieval, and orchestration systems that enhance model reasoning.
* Building experimentation pipelines that run extensive offline and online tests.
* Partnering closely with product, platform, and domain experts to ship high‑impact features.
* Owning end‑to‑end delivery of production‑level systems with clear instrumentation and measurable outcomes.

Your Skills and Experience
* Strong commercial experience in ML engineering, applied AI, or ML‑driven product development.
* Hands‑on experience deploying and iterating on complex AI or multi‑agent frameworks in production.
* Skilled in Python and confident working with large‑scale, real‑time or high‑volume data environments.
* Ability to design experiments, evaluate models, and optimise for accuracy, cost, and latency.
* Comfortable working in fast‑paced, high‑ownership environments where clarity, autonomy, and problem solving are essential.
* Academic background in Computer Science, Machine Learning, Mathematics, or related scientific fields.

What They Offer
* Base salary between 200,000 and 300,000 USD plus equity.
* Opportunity to work on cutting‑edge agentic AI challenges with significant ownership.
* Career progression in a rapidly growing organisation with substantial technical influence.
* Highly collaborative onsite environment with access to founders and senior technical leadership.

How to Apply
If you are excited by impactful ML engineering and want to help shape next‑generation AI systems, please send your application today.

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Senior Machine Learning Engineer

Location: Fully Remote (Hybrid option in NYC)
Compensation: $190,000-$200,000 + Equity
Type: Full-Time

About the Company
We are partnering with a fast-growing, profitable SaaS company that is redefining programmatic advertising through AI-driven solutions. Their platform empowers brands to deploy custom algorithms across major DSPs (The Trade Desk, DV360, Meta, YouTube), enabling smarter, real-time ad-buying decisions. Backed by leading industry investors, this company is building ML infrastructure and solving problems that don’t have off-the-shelf solutions.

Why Join?

• Work on distributed ML infrastructure using Ray + PyTorch on Databricks.
• Build solutions that create a new software layer in ad-tech.
• Flexible working hours, fully remote, and equity participation.
• Opportunity to grow into Principal ML Engineer later this year.

Role Overview

As a Senior Machine Learning Engineer, you’ll own the ML lifecycle end-to-end, focusing on productionization and robust MLOps practices. You’ll work closely with data science and engineering teams to deploy models at scale and build automation for training, inference, and observability.

Key Responsibilities

• Deploy ML models into production using CI/CD best practices.
• Monitor and manage ML drift; retrain models as needed.
• Build automation for ML lifecycle (training, inference, observability).
• Contribute to internal API development for future projects.
• Collaborate across teams to productionize models for client and internal use cases.

Must-Have Skills

• Strong experience with CI/CD (GitHub Actions, build automation, packaging).
• Expertise in MLOps (MLflow, model versioning, monitoring).
• Hands-on with Databricks (Delta Lake, Unity Catalog, Asset Bundles).
• Proficient in Python and PySpark.
• 3-6 years of relevant experience.

Nice-to-Have Skills

• Kubernetes and containerized environments.
• API development exposure.
• Distributed training (Ray) and observability tools (Prometheus, Grafana).
• Familiarity with embedding models and Databricks Clean Room.

Screening Process

1. Intro (with Director of ML or Senior Engineer) + short live coding exercise.
2. Take-home exercise (CI/CD-focused).
3. Final interview with leadership.
4. CEO check-in.

Interested?
Apply now to join a team building brand-new solutions in ad-tech and work with technologies like PyTorch, Ray, Databricks, and MLflow.

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Senior Machine Learning Engineer – GenAI / Agentic AI
Location: United States (Hybrid)

$180,000 – £250,000 base salary + Bonus, RSUs

I am working with a world-leading global brand in financial services and technology, known for shaping markets and setting the standard for innovation for over a century. This firm operates at the highest levels of global finance and is investing heavily in advanced Machine Learning and Artificial Intelligence to transform how large-scale, mission-critical systems are managed.

The Team
You would join an elite ML/AI group within their enterprise technology division. This team applies cutting-edge ML and Generative AI to orchestrate intelligent agents that improve resilience, reduce operational risk, and drive efficiency across one of the most complex infrastructures in the industry. By combining classical ML with agentic AI, they are redefining production management at global scale.

The Role
As a Senior Machine Learning Engineer, you will design and deploy AI-driven agents capable of reasoning, diagnosing, and acting in production environments. This includes:

• Building tool-using AI agents with safety and compliance guardrails

• Productionizing LLMs with retrieval pipelines, evaluation frameworks, and response validation

• Integrating agentic AI into observability, deployment, and incident management systems

• Optimizing scale, cost, and performance of AI systems under real-world load

• Partnering with global engineering teams to deliver measurable business impact

What They’re Looking For

• 7+ years’ experience in ML engineering or applied data science

• Expertise in Python (plus C++, Go, or Java)

• Track record of deploying ML systems at scale

• Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG, tool-calling)

• Cloud-native engineering (AWS preferred) and strong software design fundamentals

Why Apply
This is a rare chance to join one of the world’s most prestigious brands, working at the forefront of AI innovation with unmatched resources, scale, and career development opportunities.

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Director of AI

Remote – US

Up to $300,000 + Equity

This is an opportunity to step into a high‑impact Director of AI position where you will shape enterprise‑wide AI strategy and lead the development of next‑generation GenAI capabilities. You will influence multiple product lines, drive technical innovation, and play a major role in modernising a global digital learning ecosystem.

The Company

They are a leading digital learning organisation undergoing a significant transformation, moving from traditional content delivery to personalised, AI‑driven educational experiences. Operating across large and diverse product portfolios, they use data and advanced machine learning to create meaningful impact for learners. Their centralised AI function partners closely with product and engineering teams to build scalable, intelligent solutions that elevate learning outcomes across the business.

The Role

In this Director of AI position, you will:

* Lead a high‑performing team of data scientists and AI specialists.

* Drive the AI roadmap and set technical direction across Generative AI and machine learning.

* Build scalable AI capabilities for multiple product lines from a central enterprise team.

* Partner with engineering, product, and design teams to identify and deliver high‑value AI opportunities.

* Oversee the development of core AI systems, including content generation, personalization engines, and recommendation models.

* Support major strategic initiatives, including ontology development, knowledge mapping, and platform unification.

* Balance hands‑on technical work with people leadership and stakeholder engagement.

Your Skills and Experience

You will be a strong fit if you bring:

* Deep expertise in AI, machine learning, or data science, including hands‑on experience with Generative AI.

* Strong capability in designing AI architectures and developing real‑world AI systems.

* Experience leading technical teams and fostering collaborative, high‑performance environments.

* Ability to work closely with cross‑functional stakeholders and translate complex concepts into actionable plans.

* Strong problem‑solving skills and an ownership mindset.

* Experience with modern AI tooling such as AWS, Azure, Databricks, LangChain, or Hugging Face (beneficial but not required).

* Curiosity, craftsmanship, and a passion for building impactful solutions.

What They Offer

* Base salary of 250,000 to 275,000 plus bonus.

* Remote‑first working across the US or Canada.

* The chance to influence enterprise strategy and lead high‑impact AI initiatives.

* Career progression within a growing central AI organisation.

* The opportunity to build AI systems used by millions of learners.

How to Apply

If you are looking for a strategic, hands‑on AI leadership role with real impact, please apply with your CV.

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Senior AI Research Scientist

New York City, Hybrid

Base up tot $300,000 + Bonus + Equity

This is a standout opportunity to join a high‑growth AI organisation operating at the intersection of advanced machine learning, large‑scale distributed systems, and real‑world healthcare impact. You will work on cutting‑edge research challenges while directly influencing production systems that support mission‑critical workflows across the healthcare ecosystem.

The Company

They are an AI‑driven healthcare technology organisation building next‑generation platforms for automating complex revenue and administrative processes. Operating with the agility of a startup and the scale of an established enterprise, they combine access to significant compute resources, extensive real‑world healthcare data, and a mandate to deploy AI at nationwide scale. Their environment is deeply technical, fast‑moving, and impact‑focused, offering the chance to work alongside strong research, engineering, and product teams.

The Role

You will operate as a Senior AI Research Scientist, working end to end across ideation, experimentation, and production.

Key responsibilities include:

• Designing and training novel model architectures using PyTorch, TensorFlow, or JAX.
• Conducting applied research in areas such as long‑context retrieval, interpretability, reinforcement learning, and retrieval‑augmented generation.
• Running large‑scale experiments and evaluations on distributed GPU infrastructure.
• Contributing to deployment‑ready systems in close partnership with MLOps and ML Engineering teams.
• Translating research insights into measurable improvements across real‑world workflows.
• Staying engaged with the latest literature while building solutions that can be deployed at production scale.

Your Skills and Experience

You will bring:

• Strong capability in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Proven experience developing and evaluating novel ML architectures or pipelines.
• Expertise in at least one of the following areas: interpretability, reinforcement learning, long‑context modelling, information retrieval, or retrieval‑augmented generation.
• Confidence working with large‑scale distributed training tools such as Ray, Lightning, or FSDP.
• A solid publication track record in reputable machine learning venues.
• The ability to work hands‑on, end to end, from research exploration through to implementation.
• A collaborative mindset suited to a highly technical, fast‑moving environment.

What They Offer

• Competitive bonus structure
• Long‑term incentive plan
• Hybrid working model with three days per week onsite
• Comprehensive health coverage
• Flexible paid time off
• The chance to influence systems operating at nationwide scale and contribute to meaningful change in the healthcare sector

How to Apply

If you are interested in this Senior AI Research Scientst position, please apply with your CV for immediate consideration.

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Senior AI Scientist
Remote (US), $180,000 to $210,000 base salary
This is a rare opportunity to join a scaling health tech organisation where advanced AI research directly impacts patient outcomes at national scale. You will work on clinically meaningful problems, take ownership of cutting edge research, and see your work deployed into real world healthcare products.

The Company
They are a well funded, high growth health tech business operating at the intersection of AI, data science and clinical care. Their technology focuses on improving diagnostic accuracy in medical imaging, helping reduce misdiagnosis and increase trust in healthcare decisions. Backed by significant venture funding, they partner with large employers and insurers to improve access to high quality care across the US.

The Role
As a Senior AI Scientist, you will play a key role in shaping research direction and translating innovation into production systems.

• Design and develop deep learning models applied to medical images and clinical text
• Lead end to end research projects from idea generation through evaluation and deployment
• Collaborate closely with AI researchers, ML engineers, data scientists and clinical experts
• Drive innovation through experimentation, publication and conference representation
• Contribute to technical decision making at the boundary of AI research and clinical products

Your Skills and Experience

• Strong commercial or academic experience in deep learning using Python and PyTorch
• Proven ability to lead and own research projects independently
• Hands on experience training models at scale, including GPU or cluster based workflows
• Comfort working in Linux or Ubuntu environments
• Experience with AI operations or engineering practices such as Docker and model deployment
• Exposure to healthcare or medical imaging AI is highly beneficial
• A publication record in applied AI or medical AI is advantageous

What They Offer

• Base salary between $180,000 and $210,000, with flexibility for exceptional candidates
• Fully remote role with no travel requirement
• A zero cost health insurance plan option
• Strong visibility across the organisation and clear progression as a senior individual contributor
• The chance to work on impactful AI that directly improves patient care

How to Apply
Apply now to learn more about this opportunity and how your AI research could make a real difference in healthcare.

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HEAD OF AI ENGINEERING
£200,000
LONDON

This is a rare opportunity to join a rapidly scaling, PE-backed data platform business and take ownership of building a next-generation AI-native data layer. Working directly with the Group CTO, you’ll play a pivotal role in shaping both the technical direction and the future of their global data products.

THE COMPANY

This organisation is a global leader in B2B data and business intelligence, operating across 200+ countries and supporting industries such as fintech, compliance, and fraud prevention. Backed by private equity, the business is growing quickly through acquisitions and is building a unified data platform across multiple entities.

This role sits at the heart of that transformation, offering the chance to influence platform architecture, drive AI adoption, and help scale a high-growth international business.

THE ROLE

• Architect and deliver a centralised, AI-native data platform across multiple global datasets
• Build and scale high-performance data pipelines, APIs, and data services
• Deploy AI and automation to improve data quality, enrichment, and verification
• Work closely with the CTO on technical strategy, roadmap, and execution
• Lead technical due diligence on acquisitions and own post-acquisition integration plans
• Engage with senior leadership and investors, presenting architecture and strategy
• Start as a hands-on individual contributor with scope to build and lead a team

YOUR SKILLS AND EXPERIENCE:

• 10+ years building production-grade systems at scale
• Background as a Staff/Principal Engineer, senior IC, or technical leader in a high-growth environment
• Strong hands-on coding skills in Python, SQL, and TypeScript
• Experience building large-scale data platforms, APIs, and distributed systems
• Proven ability to operate across architecture, delivery, and executive-level communication
• Desirable: experience with AI/LLM systems, data enrichment, B2B data products, or hybrid infrastructure environments

SALARY AND BENEFITS

• £150,000 – £200,000 base salary
• Discretionary bonus
• Pension scheme
• Hybrid working model
• Potential for future equity participation

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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Director of Streaming Product & Growth

Leeds – Hybrid (3 days a week in the office)

Up to £160,000 + performance bonus

This is an exceptional chance to shape the future of a major digital streaming platform at a critical stage of its development. You’ll take full ownership of a rapidly scaling subscription product-driving commercial performance, leading digital transformation, and influencing strategic direction across the organisation.

The Role

As Director of Streaming Product & Growth, you will serve as the commercial lead for the digital subscription offering. Your responsibilities will include:

• Defining the strategic vision and market position for the streaming subscription proposition.
• Leading the commercial roadmap across pricing, packaging, go‑to‑market strategy, and customer lifecycle.
• Steering revenue growth and enhancing P&L performance through clear strategy and effective commercial levers.
• Owning end‑to‑end growth initiatives across acquisition, retention, churn reduction, and lifetime value optimisation.
• Collaborating closely with Product, Marketing, Data, Finance, Audience Insight, and Editorial teams to drive digital‑first growth.
• Harnessing data, experimentation, and customer behaviour insights to inform strategic decisions.
• Influencing senior stakeholders and bringing multiple teams together behind unified growth objectives.

Your Skills & Experience

• Excellent stakeholder management skills, with the authority and presence to influence at leadership and executive level.
• Strong commercial acumen with experience shaping revenue‑generating strategies.
• Background in digital subscription, streaming, or direct‑to‑consumer business models.
• Expertise in churn reduction, forecasting, revenue modelling, and subscription dynamics.
• Broad digital growth capability across performance marketing, product, analytics, and customer journey optimisation.

What’s On Offer

• Salary up to £160,000 plus performance‑based bonus.
• Hybrid working model with an engaging office culture in Leeds.
• A high‑impact role in a flagship digital transformation programme.
• The chance to influence strategy at scale and shape the future of a leading UK streaming service.

How to Apply

If you would like to register your interest, apply below or send your CV

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Graudate Data Science Role

This is an excellent opportunity to join a fast-growing, data-driven insurance business that is transforming how pricing and risk are approached. With strong investment in analytics and a high-performing team already in place, you will have the chance to work on impactful pricing problems while developing your skills in a highly commercial environment.
You will join the pricing team, playing a key role in analysing customer data and supporting pricing strategy.

The Role:

• Develop and refine pricing models to optimise customer acquisition and retention
• Analyse large datasets to identify trends and inform commercial decisions
• Collaborate with stakeholders to translate business requirements into data solutions
• Contribute to model development and testing within a regulated environment
• Support ongoing improvement of pricing processes and methodologies
• Work in a fast-paced team, delivering insights with real business impact

Your Skills and Experience

• Strong academic background in a quantitative discipline such as Mathematics or Physics
• Proven ability to work with data and build analytical models
• Experience or interest in pricing, insurance, or closely related commercial analytics
• Strong problem-solving skills, with the ability to think logically and clearly
• Comfortable communicating technical ideas to non-technical stakeholders
• Strong attention to detail and a structured approach to analysis

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Senior / Lead AI Engineer
Central London (Hybrid, 2 to 3 days per week)

This is a unique opportunity to join a well-established, tech-led organisation at the forefront of AI-driven content innovation. With a mature data function and strong executive buy-in for AI, you will play a key role in delivering multimodal AI solutions that directly enhance customer experience across digital, print, audio, and video channels.

The Role
You will work within a growing AI team, contributing to and leading the development of multimodal AI applications.

• Design and build AI solutions across text, audio, and video data
• Develop multimodal systems that enhance content consumption and customer interaction
• Contribute to projects such as AI-generated avatars and automated content summarisation
• Work closely with stakeholders to translate business needs into scalable AI products
• Lead technical direction for key AI initiatives if operating at Lead level
• Collaborate within a multidisciplinary data team to deliver high-impact solutions

Your Skills and Experience

• Strong commercial experience in AI or machine learning engineering
• Proven experience working with multimodal data such as text, audio, or video
• Experience building and deploying AI models into production environments
• Familiarity with modern AI frameworks and tools
• Ability to communicate technical concepts clearly to non-technical stakeholders
• Experience working in fast-paced or start-up environments is beneficial
• Background in developing customer-facing AI products or features is advantageous

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